February 2018
Beginner to intermediate
364 pages
10h 32m
English
Content preview from Python Web Scraping Cookbook
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Piecing together n-grams
Much has been written about NLTK being used to identify n-grams within text. An n-gram is a set of words, n words in length, that are common within a document/corpus (occurring 2 or more times). A 2-gram is any two words commonly repeated, a 3-gram is a three word phrase, and so on. We will not look into determining the n-grams in a document. We will focus on reconstructing known n-grams from our token streams, as we will consider those n-grams to be more important to a search result than the 2 or 3 independent words found in any order.
In the domain of parsing job listings, important 2-grams can be things such as Computer Science, SQL Server, Data Science, and Big Data. Additionally, we could consider C# a 2-gram ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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